Shu Zhang

Personal Details

First Name:	Shu
Middle Name:
Last Name:	Zhang
Suffix:
RePEc Short-ID:	pzh961
	[This author has chosen not to make the email address public]

Affiliation

Institute of Energy, Environment and Economics
Tsinghua University

Beijing, China
http://3e.tsinghua.edu.cn/
RePEc:edi:i3etscn (more details at EDIRC)

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Articles

1. Shao, Tianming & Pan, Xunzhang & Li, Xiang & Zhou, Sheng & Zhang, Shu & Chen, Wenying, 2022. "China's industrial decarbonization in the context of carbon neutrality: A sub-sectoral analysis based on integrated modelling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 170(C).

   Cited by:

   1. Pan, Xunzhang & Ma, Xueqing & Zhang, Yanru & Shao, Tianming & Peng, Tianduo & Li, Xiang & Wang, Lining & Chen, Wenying, 2023. "Implications of carbon neutrality for power sector investments and stranded coal assets in China," Energy Economics, Elsevier, vol. 121(C).
   2. Pan, Yuling & Dong, Feng, 2023. "The impacts of energy finance policies and renewable energy subsidy on energy vulnerability under carbon peaking scenarios," Energy, Elsevier, vol. 273(C).
   3. Tan, Xiujie & Wang, Banban & Wei, Jie & Taghizadeh-Hesary, Farhad, 2023. "The role of carbon pricing in achieving energy transition in the Post-COP26 era: Evidence from China's industrial energy conservation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 182(C).

2. Shu Zhang & Wenying Chen, 2022. "Assessing the energy transition in China towards carbon neutrality with a probabilistic framework," Nature Communications, Nature, vol. 13(1), pages 1-15, December.

   Cited by:

   1. Pan, Xunzhang & Ma, Xueqing & Zhang, Yanru & Shao, Tianming & Peng, Tianduo & Li, Xiang & Wang, Lining & Chen, Wenying, 2023. "Implications of carbon neutrality for power sector investments and stranded coal assets in China," Energy Economics, Elsevier, vol. 121(C).
   2. Aysylu Askarova & Aliya Mukhametdinova & Strahinja Markovic & Galiya Khayrullina & Pavel Afanasev & Evgeny Popov & Elena Mukhina, 2023. "An Overview of Geological CO 2 Sequestration in Oil and Gas Reservoirs," Energies, MDPI, vol. 16(6), pages 1-34, March.
   3. Chen, Jinyu & Luo, Qian & Tu, Yan & Ren, Xiaohang & Naderi, Niki, 2023. "Renewable energy transition and metal consumption: Dynamic evolution analysis based on transnational data," Resources Policy, Elsevier, vol. 85(PB).
   4. Zhang, Gaohang & Li, Fengting & Wang, Sen & Yin, Chunya, 2023. "Robust low-carbon energy and reserve scheduling considering operational risk and flexibility improvement," Energy, Elsevier, vol. 284(C).
   5. Wang, Shanyong & Wang, Jing & Wang, Wenfu, 2023. "Do geopolitical risks facilitate the global energy transition? Evidence from 39 countries in the world," Resources Policy, Elsevier, vol. 85(PB).
   6. Fanglin Li & Yingjie Zhang, 2024. "Simulation of Development Strategies and Evaluation of Low-Carbon Development Level in Jiangsu Province under Carbon Peaking and Carbon Neutrality Goals," Sustainability, MDPI, vol. 16(4), pages 1-25, February.
   7. Meng, Conghui & Du, Xiaoyun & Zhu, Mengcheng & Ren, Yitian & Fang, Kai, 2023. "The static and dynamic carbon emission efficiency of transport industry in China," Energy, Elsevier, vol. 274(C).
   8. Xian, Yujiao & Hu, Zhihui & Wang, Ke, 2023. "The least-cost abatement measure of carbon emissions for China's glass manufacturing industry based on the marginal abatement costs," Energy, Elsevier, vol. 284(C).
   9. Zhang, Boling & Wang, Qian & Wang, Sixia & Tong, Ruipeng, 2023. "Coal power demand and paths to peak carbon emissions in China: A provincial scenario analysis oriented by CO2-related health co-benefits," Energy, Elsevier, vol. 282(C).
   10. Yu, Bolin & Fang, Debin & Xiao, Kun & Pan, Yuling, 2023. "Drivers of renewable energy penetration and its role in power sector's deep decarbonization towards carbon peak," Renewable and Sustainable Energy Reviews, Elsevier, vol. 178(C).
   11. Ruixue Liu & Guannan He & Xizhe Wang & Dharik Mallapragada & Hongbo Zhao & Yang Shao-Horn & Benben Jiang, 2024. "A cross-scale framework for evaluating flexibility values of battery and fuel cell electric vehicles," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
   12. Biying Yu & Zihao Zhao & Yi-Ming Wei & Lan-Cui Liu & Qingyu Zhao & Shuo Xu & Jia-Ning Kang & Hua Liao, 2023. "Approaching national climate targets in China considering the challenge of regional inequality," Nature Communications, Nature, vol. 14(1), pages 1-12, December.
   13. Hai Tao & Hailin Mu & Nan Li & Peng Wang, 2023. "Alternative Energy and CO 2 Emission in China: Evidence from Bounds Testing and Vector Error Correction Model Approach," Energies, MDPI, vol. 16(8), pages 1-19, April.
   14. Yachen Xie & Jiaguo Qi & Rui Zhang & Xiaomiao Jiao & Gabriela Shirkey & Shihua Ren, 2022. "Toward a Carbon-Neutral State: A Carbon–Energy–Water Nexus Perspective of China’s Coal Power Industry," Energies, MDPI, vol. 15(12), pages 1-24, June.
   15. Panos, Evangelos & Glynn, James & Kypreos, Socrates & Lehtilä, Antti & Yue, Xiufeng & Ó Gallachóir, Brian & Daniels, David & Dai, Hancheng, 2023. "Deep decarbonisation pathways of the energy system in times of unprecedented uncertainty in the energy sector," Energy Policy, Elsevier, vol. 180(C).
   16. Quan Cheng & Jing Yang, 2023. "Allocation and Evolution of Government Attention in China’s Electric Power Industry: An Analysis Based on Policy Text," Sustainability, MDPI, vol. 15(16), pages 1-19, August.
   17. Wu, Junnian & Li, Xue & Jin, Rong, 2022. "The response of the industrial system to the interrelationship approaching to carbon neutrality of carbon sources and sinks from carbon metabolism: Coal chemical case study," Energy, Elsevier, vol. 261(PB).
   18. Zhang, Shuo & Yu, Yadong & Kharrazi, Ali & Ren, Hongtao & Ma, Tieju, 2022. "How can structural change contribute to concurrent sustainability policy targets on GDP, emissions, energy, and employment in China?," Energy, Elsevier, vol. 256(C).
   19. Yanbo Wang & Boyao Zhi & Shumin Xiang & Guangxin Ren & Yongzhong Feng & Gaihe Yang & Xiaojiao Wang, 2023. "China’s Biogas Industry’s Sustainable Transition to a Low-Carbon Plan—A Socio-Technical Perspective," Sustainability, MDPI, vol. 15(6), pages 1-20, March.
   20. Kou, Xiaoxue & Wang, Ruzhu, 2023. "Thermodynamic analysis of electric to thermal heating pathways coupled with thermal energy storage," Energy, Elsevier, vol. 284(C).
   21. Zhang, Nan & Zhang, Jianliang & Wang, Guangwei & Ning, Xiaojun & Meng, Fanyi & Li, Chuanhui & Ye, Lian & Wang, Chuan, 2022. "Physicochemical characteristics of three-phase products of low-rank coal by hydrothermal carbonization: experimental research and quantum chemical calculation," Energy, Elsevier, vol. 261(PB).
   22. Zhang, Jiaqi & Tian, Guang & Chen, Xiangyu & Liu, Pei & Li, Zheng, 2023. "A chance-constrained programming approach to optimal planning of low-carbon transition of a regional energy system," Energy, Elsevier, vol. 278(PA).
   23. Zheng, Shunlin & Qi, Qi & Sun, Yi & Ai, Xin, 2023. "Integrated demand response considering substitute effect and time-varying response characteristics under incomplete information," Applied Energy, Elsevier, vol. 333(C).
   24. Minde An & Ronald G. Prinn & Luke M. Western & Xingchen Zhao & Bo Yao & Jianxin Hu & Anita L. Ganesan & Jens Mühle & Ray F. Weiss & Paul B. Krummel & Simon O’Doherty & Dickon Young & Matthew Rigby, 2024. "Sustained growth of sulfur hexafluoride emissions in China inferred from atmospheric observations," Nature Communications, Nature, vol. 15(1), pages 1-10, December.
   25. Shao, Tianming & Pan, Xunzhang & Li, Xiang & Zhou, Sheng & Zhang, Shu & Chen, Wenying, 2022. "China's industrial decarbonization in the context of carbon neutrality: A sub-sectoral analysis based on integrated modelling," Renewable and Sustainable Energy Reviews, Elsevier, vol. 170(C).
   26. Li, Xining & Ju, Lingling & Geng, Guangchao & Jiang, Quanyuan, 2023. "Data-driven state-of-health estimation for lithium-ion battery based on aging features," Energy, Elsevier, vol. 274(C).
   27. Lin Wang & Yugang He & Renhong Wu, 2024. "Digitization Meets Energy Transition: Shaping the Future of Environmental Sustainability," Energies, MDPI, vol. 17(4), pages 1-25, February.
   28. Wang, Shuguang & Sun, Luang & Iqbal, Sajid, 2022. "Green financing role on renewable energy dependence and energy transition in E7 economies," Renewable Energy, Elsevier, vol. 200(C), pages 1561-1572.
   29. Zhoumu Yang & Jingjing Cai & Yun Lu & Bin Zhang, 2022. "The Impact of Economic Growth, Industrial Transition, and Energy Intensity on Carbon Dioxide Emissions in China," Sustainability, MDPI, vol. 14(9), pages 1-14, April.
   30. Jianxiao Wang & Liudong Chen & Zhenfei Tan & Ershun Du & Nian Liu & Jing Ma & Mingyang Sun & Canbing Li & Jie Song & Xi Lu & Chin-Woo Tan & Guannan He, 2023. "Inherent spatiotemporal uncertainty of renewable power in China," Nature Communications, Nature, vol. 14(1), pages 1-11, December.
   31. Wang, Hao-ran & Feng, Tian-tian & Zhong, Cheng, 2023. "Effectiveness of CO2 cost pass-through to electricity prices under “electricity-carbon” market coupling in China," Energy, Elsevier, vol. 266(C).

3. Zhang, Shu & Wang, Yi & Zhang, Yutian & Wang, Dan & Zhang, Ning, 2020. "Load probability density forecasting by transforming and combining quantile forecasts," Applied Energy, Elsevier, vol. 277(C).

   Cited by:

   1. Lemos-Vinasco, Julian & Bacher, Peder & Møller, Jan Kloppenborg, 2021. "Probabilistic load forecasting considering temporal correlation: Online models for the prediction of households’ electrical load," Applied Energy, Elsevier, vol. 303(C).
   2. Zheng, Zhuang & Sun, Zhankun & Pan, Jia & Luo, Xiaowei, 2021. "An integrated smart home energy management model based on a pyramid taxonomy for residential houses with photovoltaic-battery systems," Applied Energy, Elsevier, vol. 298(C).
   3. Li, Yiyan & Zhang, Si & Hu, Rongxing & Lu, Ning, 2021. "A meta-learning based distribution system load forecasting model selection framework," Applied Energy, Elsevier, vol. 294(C).
   4. Fanidhar Dewangan & Almoataz Y. Abdelaziz & Monalisa Biswal, 2023. "Load Forecasting Models in Smart Grid Using Smart Meter Information: A Review," Energies, MDPI, vol. 16(3), pages 1-55, January.
   5. Chapaloglou, Spyridon & Varagnolo, Damiano & Marra, Francesco & Tedeschi, Elisabetta, 2022. "Data-driven energy management of isolated power systems under rapidly varying operating conditions," Applied Energy, Elsevier, vol. 314(C).
   6. Brusaferri, Alessandro & Matteucci, Matteo & Spinelli, Stefano & Vitali, Andrea, 2022. "Probabilistic electric load forecasting through Bayesian Mixture Density Networks," Applied Energy, Elsevier, vol. 309(C).
   7. Wang, Xiaoqian & Hyndman, Rob J. & Li, Feng & Kang, Yanfei, 2023. "Forecast combinations: An over 50-year review," International Journal of Forecasting, Elsevier, vol. 39(4), pages 1518-1547.
   8. Jonathan Berrisch & Florian Ziel, 2021. "CRPS Learning," Papers 2102.00968, arXiv.org, revised Nov 2021.
   9. He, Yaoyao & Cao, Chaojin & Wang, Shuo & Fu, Hong, 2022. "Nonparametric probabilistic load forecasting based on quantile combination in electrical power systems," Applied Energy, Elsevier, vol. 322(C).
   10. Lei, Yang & Wang, Dan & Jia, Hongjie & Li, Jiaxi & Chen, Jingcheng & Li, Jingru & Yang, Zhihong, 2021. "Multi-stage stochastic planning of regional integrated energy system based on scenario tree path optimization under long-term multiple uncertainties," Applied Energy, Elsevier, vol. 300(C).
   11. Xu, Xiuqin & Chen, Ying & Goude, Yannig & Yao, Qiwei, 2021. "Day-ahead probabilistic forecasting for French half-hourly electricity loads and quantiles for curve-to-curve regression," Applied Energy, Elsevier, vol. 301(C).
   12. Mengran Zhou & Tianyu Hu & Kai Bian & Wenhao Lai & Feng Hu & Oumaima Hamrani & Ziwei Zhu, 2021. "Short-Term Electric Load Forecasting Based on Variational Mode Decomposition and Grey Wolf Optimization," Energies, MDPI, vol. 14(16), pages 1-17, August.
   13. Munkhammar, Joakim & van der Meer, Dennis & Widén, Joakim, 2021. "Very short term load forecasting of residential electricity consumption using the Markov-chain mixture distribution (MCM) model," Applied Energy, Elsevier, vol. 282(PA).

More information

Research fields, statistics, top rankings, if available.

Statistics

Access and download statistics for all items

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. For general information on how to correct material on RePEc, see these instructions.

To update listings or check citations waiting for approval, Shu Zhang should log into the RePEc Author Service.

To make corrections to the bibliographic information of a particular item, find the technical contact on the abstract page of that item. There, details are also given on how to add or correct references and citations.

To link different versions of the same work, where versions have a different title, use this form. Note that if the versions have a very similar title and are in the author's profile, the links will usually be created automatically.

Please note that most corrections can take a couple of weeks to filter through the various RePEc services.